Abstract
We present a computational platform designed to forecast the onset and progression of atherosclerotic plaque in carotid arteries. Our approach involves integrating Computational Fluid Dynamics (CFD) simulations with in-vivo data and employing two distinct plaque growth models. The first is the Wall Shear Stress (WSS) model, which correlates the thickening of the innermost intimal layer of the arterial vessel with the CFD-computed maximum component of the WSS through a linear algebraic relation. The second is the Low-Density Lipoprotein (LDL) model, considering the initial phases of the inflammation process, where ordinary differential equations describe plaque growth in relation to the magnitude of the WSS and LDL concentration in the intima. In both cases, we account for the thickening of the intima normal to the wall toward the arterial lumen using a morphing procedure. Our findings reveal that steady CFD simulations yield comparable averaged-WSS values in magnitude to unsteady simulations, allowing for the coupling of plaque growth models with steady simulations and thus reducing computational costs. Through a comparison of numerical predictions with in-vivo data, we highlight the need for a modification in the WSS-based plaque growth model to achieve adequate results. We discovered that both the modified WSS model and the LDL model accurately predict the onset region of the disease. Moreover, the LDL model proves to be more effective in estimating the plaque growth rate during the early stages of the pathology.
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References
DeBakey, M.E., Lawrie, G.M., Glaeser, D.H.: Patterns of atherosclerosis and their surgical significance. Ann. Surg. 201(2), 115 (1985)
Ross, R.: Atherosclerosis-an inflammatory disease. N. Engl. J. Med. 340(2), 115–126 (1999)
Björkegren, J.L., Lusis, A.J.: Atherosclerosis: recent developments. Cell 185, 1630–1645 (2022)
Timmis, A., et al.: European society of cardiology: cardiovascular disease statistics 2021. Eur. Heart J. 43(8), 716–799 (2022)
Townsend, N., Wilson, L., Bhatnagar, P., Wickramasinghe, K., Rayner, M., Nichols, M.: Cardiovascular disease in Europe: epidemiological update 2016. Eur. Heart J. 37(42), 3232–3245 (2016)
Rafieian-Kopaei, M., Setorki, M., Doudi, M., Baradaran, A., Nasri, H.: Atherosclerosis: process, indicators, risk factors and new hopes. Int. J. Prev. Med. 5(8), 927 (2014)
Morbiducci, U., et al.: Outflow conditions for image-based hemodynamic models of the carotid bifurcation: implications for indicators of abnormal flow. J. Biomech. Eng. 132(9), 091005 (2010)
Boccadifuoco, A., Mariotti, A., Celi, S., Martini, N., Salvetti, M.V.: Uncertainty quantification in numerical simulations of the flow in thoracic aortic aneurysms. In: ECCOMAS Congress 2016 - Proceedings of the 7th European Congress on Computational Methods in Applied Sciences and Engineering, vol. 3, pp. 6226–6249 (2016)
Antonuccio, M.N., Mariotti, A., Celi, S., Salvetti, M.V.: Effects of the distribution in space of the velocity-inlet condition in hemodynamic simulations of the thoracic aorta. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L., Ortuño, F. (eds.) LNCS (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). LNBI, vol. 12108, pp. 63–74. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-45385-5_6
Antonuccio, M.N., et al.: Effects of uncertainty of outlet boundary conditions in a patient-specific case of aortic coarctation. Ann. Biomed. Eng. 49(12), 3494–3507 (2021)
Mariotti, A., Boccadifuoco, A., Celi, S., Salvetti, M.V.: Hemodynamics and stresses in numerical simulations of the thoracic aorta: stochastic sensitivity analysis to inlet flow-rate waveform. Comput. Fluids 230, 105123 (2021)
Vignon-Clementel, I.E., Chapelle, D., Barakat, A.I., Bel-Brunon, A., Moireau, P., Vibert, E.: Special issue of the VPH2020 conference: “virtual physiological human: when models, methods and experiments meet the clinic”. Ann. Biomed. Eng. 50, 483–484 (2022). https://doi.org/10.1007/s10439-022-02943-y
Mariotti, A., Antonuccio, M.N., Morello, M., Salvetti, M.V., Celi, S.: Numerical simulation of aortic coarctations of different grades of severity: flow features and importance of outlet boundary conditions. Comput. Fluids 266, 106043 (2023)
Lopes, D., Puga, H., Teixeira, J., Lima, R.: Blood flow simulations in patient-specific geometries of the carotid artery: a systematic review. J. Biomech. 111, 110019 (2020)
Tang, D., et al.: A negative correlation between human carotid atherosclerotic plaque progression and plaque wall stress: in vivo MRI-based 2D/3D FSI models. J. Biomech. 41(4), 727–736 (2008)
Gessaghi, V.C., Raschi, M.A., Tanoni, D.Y., Perazzo, C.A., Larreteguy, A.E.: Growth model for cholesterol accumulation in the wall of a simplified 3D geometry of the carotid bifurcation. Comput. Methods Appl. Mech. Eng. 200(23–24), 2117–2125 (2011)
Sakellarios, A.I., et al.: A proof-of-concept study for predicting the region of atherosclerotic plaque development based on plaque growth modeling in carotid arteries. In: 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 6552–6555. IEEE (2015)
Mantzaris, M.D., et al.: Computational modeling of atherosclerotic plaque progression in carotid lesions with moderate degree of stenosis. In: 2021 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 4209–4212. IEEE (2021)
Alagbe, E.E., Amoo, T.E., Ayeni, A.O., Oyedele, O.S., Ashiekaa, V.D.: Computational simulation of atherosclerosis progression associated with blood pressure in a 2-D idealized human carotid artery model. Open Chem. Eng. J. 16(1) (2022)
Díaz-Zuccarini, V., Di Tomaso, G., Agu, O., Pichardo-Almarza, C.: Towards personalised management of atherosclerosis via computational models in vascular clinics: technology based on patient-specific simulation approach. Healthc. Technol. Lett. 1(1), 13–18 (2014)
Mirbagheri, S.A., Saidi, M.S., Sohrabi, S., Firoozabadi, B., Banazadeh, M.H.: Effects of hypertension on Intima-Media Thickness (IMT); application to a human carotid artery. Sci. Iranica 23(4), 1731–1740 (2016)
Mendieta, J.B., et al.: The importance of blood rheology in patient-specific computational fluid dynamics simulation of stenotic carotid arteries. Biomech. Model. Mechanobiol. 19, 1477–1490 (2020)
Weddell, J.C., Kwack, J., Imoukhuede, P.I., Masud, A.: Hemodynamic analysis in an idealized artery tree: differences in wall shear stress between Newtonian and non-Newtonian blood models. PLoS ONE 10(4), e0124575 (2015)
Morbiducci, U., et al.: On the importance of blood rheology for bulk flow in hemodynamic models of the carotid bifurcation. J. Biomech. 44(13), 2427–2438 (2011)
Holdsworth, D.W., Norley, C.J.D., Frayne, R., Steinman, D.A., Rutt, B.K.: Characterization of common carotid artery blood-flow waveforms in normal human subjects. Physiol. Meas. 20(3), 219 (1999)
Xu, P., et al.: Assessment of boundary conditions for CFD simulation in human carotid artery. Biomech. Model. Mechanobiol. 17, 1581–1597 (2018)
Vignali, E., Gasparotti, E., Mariotti, A., Haxhiademi, D., Ait-Ali, L., Celi, S.: High-versatility left ventricle pump and aortic mock circulatory loop development for patient-specific hemodynamic in vitro analysis. ASAIO J. 68(10), 1272–1281 (2022)
Mariotti, A., Celi, S., Antonuccio, M.N., Salvetti, M.V.: Impact of the spatial velocity inlet distribution on the hemodynamics of the thoracic aorta. Cardiovasc. Eng. Technol. 14(5), 713–725 (2023)
Mariotti, A., et al.: In vitro analysis of hemodynamics in the ascending thoracic aorta: sensitivity to the experimental setup. Appl. Sci. 13(8), 5095 (2023)
Marshall, I., Papathanasopoulou, P., Wartolowska, K.: Carotid flow rates and flow division at the bifurcation in healthy volunteers. Physiol. Meas. 25(3), 691 (2004)
Capellini, K., Gasparotti, E., Cella, U., Costa, E., Fanni, B.M., Groth, C., Porziani, S., Biancolini, M.E., Celi, S.: A novel formulation for the study of the ascending aortic fluid dynamics with in vivo data. Med. Eng. Phys. 91, 68–78 (2021)
Biancolini, M.E., Capellini, K., Costa, E., Groth, C., Celi, S.: Fast interactive CFD evaluation of hemodynamics assisted by RBF mesh morphing and reduced order models: the case of aTAA modelling. Int. J. Interact. Des. Manuf. (IJIDeM) 14, 1227–1238 (2020)
Capellini, K., et al.: Computational fluid dynamic study for aTAA hemodynamics: an integrated image-based and radial basis functions mesh morphing approach. J. Biomech. Eng. 140(11), 111007 (2018)
Homma, S., Hirose, N., Ishida, H., Ishii, T., Araki, G.: Carotid plaque and intima-media thickness assessed by B-mode ultrasonography in subjects ranging from young adults to centenarians. Stroke 32(4), 830–835 (2001)
Acknowledgments
This research is supported by PNRR M4C2 - HPC, Big data and Quantum Computing (Simulazioni, calcolo e analisi dei dati e altre prestazioni - CN1) - CUP I53C22000690001 SPOKE 6 Multiscale modelling & Engineering applications and by the National Recovery and Resilience Plan, Mission 4 Component 2 Investment 1.3. The authors are grateful to Anita Guatteri for her precious contribution in carrying out the numerical simulations.
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Singh, J., Capellini, K., Mariotti, A., Salvetti, M.V., Celi, S. (2024). Predicting Atherosclerotic Plaque Onset and Growth in Carotid Arteries: A CFD-Driven Approach. In: Rojas, I., Ortuño, F., Rojas, F., Herrera, L.J., Valenzuela, O. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2024. Lecture Notes in Computer Science(), vol 14848. Springer, Cham. https://doi.org/10.1007/978-3-031-64629-4_13
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